Fold 0
Model 0 best validation mae = 0.224903 on epoch 29
Model 0 test mae = 0.225468
Ensemble test mae = 0.225468
Fold 1
Model 0 best validation mae = 0.226189 on epoch 28
Model 0 test mae = 0.225504
Ensemble test mae = 0.225504
Fold 2
Model 0 best validation mae = 0.225510 on epoch 29
Model 0 test mae = 0.226333
Ensemble test mae = 0.226333
Fold 3
Model 0 best validation mae = 0.225583 on epoch 27
Model 0 test mae = 0.225760
Ensemble test mae = 0.225760
Fold 4
Model 0 best validation mae = 0.225568 on epoch 27
Model 0 test mae = 0.224777
Ensemble test mae = 0.224777
Fold 5
Model 0 best validation mae = 0.226140 on epoch 29
Model 0 test mae = 0.225236
Ensemble test mae = 0.225236
Fold 6
Model 0 best validation mae = 0.225983 on epoch 20
Model 0 test mae = 0.225272
Ensemble test mae = 0.225272
Fold 7
Model 0 best validation mae = 0.224761 on epoch 29
Model 0 test mae = 0.224802
Ensemble test mae = 0.224802
Fold 8
Model 0 best validation mae = 0.225410 on epoch 25
Model 0 test mae = 0.225228
Ensemble test mae = 0.225228
Fold 9
Model 0 best validation mae = 0.225736 on epoch 28
Model 0 test mae = 0.225747
Ensemble test mae = 0.225747
10-fold cross validation
	Seed 0 ==> test mae = 0.225468
	Seed 1 ==> test mae = 0.225504
	Seed 2 ==> test mae = 0.226333
	Seed 3 ==> test mae = 0.225760
	Seed 4 ==> test mae = 0.224777
	Seed 5 ==> test mae = 0.225236
	Seed 6 ==> test mae = 0.225272
	Seed 7 ==> test mae = 0.224802
	Seed 8 ==> test mae = 0.225228
	Seed 9 ==> test mae = 0.225747
Overall test mae = 0.225413 +/- 0.000442
Elapsed time = 5:15:33
